{
"id": 311733,
"title": "some papers in Birdcall Identification",
"url": "/competitions/birdclef-2022/discussion/311733",
"author_name": "",
"post_date": "2022-03-08T14:12:20.733000",
"votes": 10,
"comment_count": 0,
"views": 0,
"content": "\n- A Closer Look at Weak Label Learning for Audio EventsCONTRASTIVE LEARNING OF GENERAL-PURPOSE AUDIO REPRESENTATIONS
\n- Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
\n- Automatic acoustic identification of individuals in multiple species: improving identification across recording conditions
\n- Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
\n- Bird Species Identification in Soundscapes
\n- Bird recognition - review of useful resources
\n- mixup: BEYOND EMPIRICAL RISK MINIMIZATION
\n- PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
\n- SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition
\n
",
"messages": [
{
"id": 1715935,
"postDate": "2022-03-08T14:12:20.733Z",
"content": "\n- A Closer Look at Weak Label Learning for Audio EventsCONTRASTIVE LEARNING OF GENERAL-PURPOSE AUDIO REPRESENTATIONS
\n- Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
\n- Automatic acoustic identification of individuals in multiple species: improving identification across recording conditions
\n- Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
\n- Bird Species Identification in Soundscapes
\n- Bird recognition - review of useful resources
\n- mixup: BEYOND EMPIRICAL RISK MINIMIZATION
\n- PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
\n- SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition
\n
",
"rawMarkdown": "1. [A Closer Look at Weak Label Learning for Audio Events](https://arxiv.org/pdf/1804.09288.pdf)[CONTRASTIVE LEARNING OF GENERAL-PURPOSE AUDIO REPRESENTATIONS](https://arxiv.org/pdf/2010.10915.pdf)\n2. [Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning](https://www.pnas.org/content/115/25/E5716/)\n3. [Automatic acoustic identification of individuals in multiple species: improving identification across recording conditions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505557/)\n4. [Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge](https://arxiv.org/pdf/1807.05812.pdf)\n5. [Bird Species Identification in Soundscapes](http://ceur-ws.org/Vol-2380/paper_86.pdf)\n6. [Bird recognition - review of useful resources](https://github.com/AgaMiko/bird-recognition-review)\n7. [mixup: BEYOND EMPIRICAL RISK MINIMIZATION](https://arxiv.org/pdf/1710.09412.pdf)\n8. [PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition](https://arxiv.org/pdf/1912.10211.pdf)\n9. [SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition](https://arxiv.org/pdf/1904.08779.pdf)\n",
"votes": 10
}
],
"comments": [],
"raw_markdown_by_id": {
"1715935": "1. [A Closer Look at Weak Label Learning for Audio Events](https://arxiv.org/pdf/1804.09288.pdf)[CONTRASTIVE LEARNING OF GENERAL-PURPOSE AUDIO REPRESENTATIONS](https://arxiv.org/pdf/2010.10915.pdf)\n2. [Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning](https://www.pnas.org/content/115/25/E5716/)\n3. [Automatic acoustic identification of individuals in multiple species: improving identification across recording conditions](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6505557/)\n4. [Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge](https://arxiv.org/pdf/1807.05812.pdf)\n5. [Bird Species Identification in Soundscapes](http://ceur-ws.org/Vol-2380/paper_86.pdf)\n6. [Bird recognition - review of useful resources](https://github.com/AgaMiko/bird-recognition-review)\n7. [mixup: BEYOND EMPIRICAL RISK MINIMIZATION](https://arxiv.org/pdf/1710.09412.pdf)\n8. [PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition](https://arxiv.org/pdf/1912.10211.pdf)\n9. [SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition](https://arxiv.org/pdf/1904.08779.pdf)\n"
}
}